2018
DOI: 10.1541/ieejjia.7.416
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating the Accuracy of Railway Total Simulator Compared with Actual Measurement Data

Abstract: We developed a railway total simulator that can simulate not only each sub system such as a train, signalling system, and power supply system but also train operation and energy usage based on the collaboration of subsystems for all railroads. The purpose of this simulator is to determine the influence of the energy consumption of trains and substations depending on the change in train characteristics, timetables, power supply systems and so on. The targets of calculation for this simulator are the energy cons… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 2 publications
(1 reference statement)
0
1
0
Order By: Relevance
“…The results show that r 0 has two components: one mass-dependent and a constant one, while r 2 depends linearly on the number of new fronts of a train, namely loaded wagons behind empty ones. The running resistance parameters of a monorail are estimated in [59]. The estimates obtained from coasting tests are compared with well-known formulas in [15], finding that most of these formulas overestimate the running resistance.…”
Section: A Offline Train Motion Model Calibrationmentioning
confidence: 99%
“…The results show that r 0 has two components: one mass-dependent and a constant one, while r 2 depends linearly on the number of new fronts of a train, namely loaded wagons behind empty ones. The running resistance parameters of a monorail are estimated in [59]. The estimates obtained from coasting tests are compared with well-known formulas in [15], finding that most of these formulas overestimate the running resistance.…”
Section: A Offline Train Motion Model Calibrationmentioning
confidence: 99%